Mental health technologies for research, assessment, and intervention
I direct the MATTER Lab at the Child Mind Institute
in Manhattan, where we build technologies such as wearable devices,
phone apps, and voice analysis and informatics tools to help diagnose, assess, monitor and improve mental health.
An example wearable device is our wrist-worn position tracker called the “Tingle” that records
and remotely monitors compulsive behaviors (such as trichotillomania, excoriation, and nail biting) and can provide
an alert when engaging in a such behaviors (by haptic feedback on the wrist). We have created apps to remotely
administer therapies for children with anxiety disorders, as well as a general-purpose data collection platform
called “Mindlogger” to administer a wide range of assessments, including surveys, drawing and tapping tasks,
and audio recordings. We support the Healthy Brain Network,
an ongoing study of 10,000
children and adolescents that collects and freely disseminates data from brain imaging, eye tracking, voice, video,
biosamples, and a large battery of mental health assessments. Our work therefore combines a patient network, data
collection and analysis, intervention platforms and delivery platforms. This combination will enable us to increase
access to relevant treatment options, improve mental health assessment and treatment efficacy and support research
programs in mental health globally.

Mobile health research: mPower Parkinson study
At Sage Bionetworks, I was the scientific lead on the mPower
mobile health research study that tracked symptoms of Parkinson disease in thousands of participants.
I helped map symptoms to sensors in the design of the
mPower app,
a mobile phone application that collects voice, accelerometer, and tapping data.
This was one of the first research applications built on top of Apple's new open source ResearchKit platform.
I built the mhealthx software pipeline
for extracting features from such mobile health data.

Open science challenges
At Sage Bionetworks, in addition to brain imaging and mobile health research projects (see mPower above),
I helped coordinate international biomedical contests, such as the Alzheimer''s Disease
Big Data Challenge.
(See my 2015 and
2016
Sage Assembly posters and sign!)

Mindboggle brain image analysis softwaremindboggle.info
I am the lead developer of Mindboggle, Python software for the analysis (feature extraction, labeling, and morphometry)
of brain image data. The software has been used to prepare data for an international
Alzheimer's challenge,
has been funded by three NIH grants, and is under active development.

Ellora Daily Photoelloradaily.info
I take a photograph of my daughter's face every day (not as consistently now that she's over 14 years old!)
and use facial features to coregister the images to create a time-lapse animation of her entire life.
This project has been showcased in articles in the L.A. Times and Slate Magazine and has aired on Japan's NHK
and Germany's DW-TV.

Ellora Cave Templeselloracaves.org
My wife and I collaborated with Professor Walter Spink of the University of Michigan to create the first comprehensive
documentation of the Ellora cave temples of India. I took over 7,000 digital photographs of the Buddhist, Hindu,
and Jain cave temples and have constructed an online "walk through" user interface to view the images
with respect to the temple ground plans.
This work was funded in part by a grant from the Mellon Foundation and several grants from the Indian government.

Information visualization taxonomy and languageinfovis.info
I created this searchable database of over 1,000 information visualizations
to guide development of a taxonomic classification system for organizing
and graphical language for symbolically representing such visualizations.

Quotes over TimeQoverT
Quotes over Time tracked the top-quoted people from Reuters Alertnet News, and presents their quotes on a timeline.